WhatsApp Banned Over 2.9 Million Indian s in January to Combat Abuse 4t3d69 Technology News

WhatsApp said that from January 1 till January 31, a total of 1,461 reports were received and a total of 195 cases were taken up for actions. 4k3uz

By ANI | Updated: 1 March 2023 20:13 IST

WhatsApp Banned Over 2.9 Million Indian s in January to Combat Abuse

Photo Credit: Bloomberg 2x1m1w

WhatsApp also deploys tools and resources to prevent harmful behaviour on the platform

Highlights

WhatsApp over the years has consistently invested in AI
The abuse detection operates at three stages of an 's lifestyle
WhatsApp published report for January in accordance with IT Rules 2021

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Social messaging platform WhatsApp on Wednesday said it banned over 2.9 million s in the country in month of January to "combat abuse."

"WhatsApp is an industry leader in preventing abuse, among end-to-end encrypted messaging services," a spokesperson of the social messaging platform said.

In order to keep "our s safe on our platform," artificial intelligence and other state-of-the-art technology, data scientists and experts, the spokesperson said.

"In accordance with the IT Rules 2021, we have published our report for the month of January 2023. This -safety report contains details of the complaints received and the corresponding action taken by WhatsApp, as well as WhatsApp's own preventive actions to combat abuse on our platform. As captured in the latest monthly report, WhatsApp banned over 2.9 million s in January," he added.

From January 1 till January 31, a total of 1,461 reports were received and a total of 195 cases were taken up for actions. There were 51 reports on the issue of , 1,337 reports on ban appeal, 45 cases on other case and 21 cases on product .

In the company statement, the messaging company said in addition to responding to and actioning on complaints through the grievance channel, WhatsApp also deploys tools and resources to prevent harmful behaviour on the platform.

The company said, "We are particularly focused on prevention because we believe it is much better to stop harmful activity from happening in the first place than to detect it after harm has occurred."

The abuse detection operates at three stages of an 's lifestyle: at registration, during messaging, and in response to negative , which we receive in the form of reports and blocks.

"A team of analysts augments these systems to evaluate edge cases and help improve our effectiveness over time," the company said, adding, "We have detailed our on-platform capabilities to identify and ban s in a white paper."

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